• HDU 1067 GAP (BFS + HASH)


    Gap

    Time Limit: 20000/10000 MS (Java/Others)    Memory Limit: 65536/32768 K (Java/Others) Total Submission(s): 667    Accepted Submission(s): 366

    Problem Description
    Let's play a card game called Gap. You have 28 cards labeled with two-digit numbers. The first digit (from 1 to 4) represents the suit of the card, and the second digit (from 1 to 7) represents the value of the card.
    First, you shu2e the cards and lay them face up on the table in four rows of seven cards, leaving a space of one card at the extreme left of each row. The following shows an example of initial layout.

    Next, you remove all cards of value 1, and put them in the open space at the left end of the rows: "11" to the top row, "21" to the next, and so on.
    Now you have 28 cards and four spaces, called gaps, in four rows and eight columns. You start moving cards from this layout.

    At each move, you choose one of the four gaps and fill it with the successor of the left neighbor of the gap. The successor of a card is the next card in the same suit, when it exists. For instance the successor of "42" is "43", and "27" has no successor.
    In the above layout, you can move "43" to the gap at the right of "42", or "36" to the gap at the right of "35". If you move "43", a new gap is generated to the right of "16". You cannot move any card to the right of a card of value 7, nor to the right of a gap.
    The goal of the game is, by choosing clever moves, to make four ascending sequences of the same suit, as follows.

    Your task is to find the minimum number of moves to reach the goal layout.
     
    Input
    The input starts with a line containing the number of initial layouts that follow.
    Each layout consists of five lines - a blank line and four lines which represent initial layouts of four rows. Each row has seven two-digit numbers which correspond to the cards.
     
    Output
    For each initial layout, produce a line with the minimum number of moves to reach the goal layout. Note that this number should not include the initial four moves of the cards of value 1. If there is no move sequence from the initial layout to the goal layout, produce "-1".
     
    Sample Input
    4 12 13 14 15 16 17 21 22 23 24 25 26 27 31 32 33 34 35 36 37 41 42 43 44 45 46 47 11 26 31 13 44 21 24 42 17 45 23 25 41 36 11 46 34 14 12 37 32 47 16 43 27 35 22 33 15 17 12 16 13 15 14 11 27 22 26 23 25 24 21 37 32 36 33 35 34 31 47 42 46 43 45 44 41 27 14 22 35 32 46 33 13 17 36 24 44 21 15 43 16 45 47 23 11 26 25 37 41 34 42 12 31
     
    Sample Output
    0 33 60 -1
     
     
     
     
    学会了手写哈希,用的是AP哈希,此函数在前面的哈希函数对比那篇博文里有介绍,不解的是用来余的数稍微开的一点就MLE了,32G内存不至于这么快就用完吧。。。
     
    #include <iostream>
    #include <queue>
    #include <algorithm>
    #include <cstdio>
    #include <cstring>
    #include <string>
    using	namespace	std;
    
    const	int	MAX = 999991;
    int	G_MAP[][8] = {{0,0,0,0,0,0,0,0},
    		      {11,12,13,14,15,16,17,0},
    		      {21,22,23,24,25,26,27,0},
    		      {31,32,33,34,35,36,37,0},
    		      {41,42,43,44,45,46,47,0}};
    int	VIS[MAX];
    int	STEP;
    unsigned int GOAL_HASH;
    
    struct	Node
    {
    	int	x,y;
    };
    struct	State
    {
    	int		map[5][10];
    	Node		pos[50],blank[4];
    	unsigned int	hash;
    	int		step;
    	void	operator =(State const & r)
    	{
    		for(int i = 0;i < 5;i ++)
    			for(int j = 0;j < 10;j ++)
    				map[i][j] = r.map[i][j];
    		for(int i = 0;i < 50;i ++)
    			pos[i] = r.pos[i];
    		for(int i = 0;i < 4;i ++)
    			blank[i] = r.blank[i];
    		hash = r.hash;
    		step = r.step;
    	}
    };
    
    void	APhash(State &);
    int	APhash(int (*)[8]);
    int	bfs(State &);
    void	debug(const State &);
    int	main(void)
    {
    	int	n;
    	GOAL_HASH = APhash(G_MAP);
    
    	scanf("%d",&n);
    	while(n --)
    	{
    		State	first;
    		int	count_blank = 0,count_num = 0;
    
    		memset(first.map,0,sizeof(first.map));
    		for(int i = 0;i < 50;i ++)
    			first.pos[i].x = first.pos[i].y = 0;
    
    		for(int i = 1;i <= 4;i ++)
    			for(int j = 1;j <= 7;j ++)
    			{
    				Node	temp;
    				temp.x = i;
    				temp.y = j;
    				scanf("%d",&first.map[i][j]);
    
    				int	temp_num = first.map[i][j];
    				if(temp_num % 10 == 1)
    				{
    					first.map[temp_num / 10][0] = temp_num;
    					first.map[i][j] = 0;
    					first.blank[count_blank ++] = temp;
    				}
    				else
    				{
    					first.pos[temp_num].x = i;
    					first.pos[temp_num].y = j;
    				}
    			}
    		first.step = 0;
    
    		printf("%d
    ",bfs(first));
    	}
    
    	return	0;
    }
    
    void	APhash(State & r)
    {
    	unsigned	hash = 0;
    	
    	for(int i = 1;i <= 4;i ++)
    		for(int j = 0;j < 8;j ++)
    			if(r.map[i][j] & 1)
    				hash ^= (~((hash << 11) ^ r.map[i][j] ^ (hash >> 5)));
    			else
    				hash ^= ((hash << 7) ^ r.map[i][j] ^ (hash >> 3));
    	r.hash = (hash & 0x7fffffff) % MAX;
    }
    
    int	APhash(int (* s)[8])
    {
    	unsigned	hash = 0;
    	
    	for(int i = 1;i <= 4;i ++)
    		for(int j = 0;j < 8;j ++)
    			if(s[i][j] & 1)
    				hash ^= (~((hash << 11) ^ s[i][j] ^ (hash >> 5)));
    			else
    				hash ^= ((hash << 7) ^ s[i][j] ^ (hash >> 3));
    	return	((hash & 0x7fffffff) % MAX);
    }
    
    int	bfs(State & r)
    {
    	memset(VIS,0,sizeof(VIS));
    
    	queue<State>	que;
    	que.push(r);
    	
    	APhash(r);
    	if(r.hash == GOAL_HASH)
    		return	r.step;
    
    	while(!que.empty())
    	{
    		State	cur = que.front();
    		que.pop();
    
    		for(int i = 0;i < 4;i ++)
    			if(cur.blank[i].y >= 1 && cur.blank[i].y <= 7)
    			{
    				State	next = cur;
    				
    				int num = cur.map[cur.blank[i].x][cur.blank[i].y - 1] + 1;
    				if((num % 10 == 8) || (num == 1))
    					continue;
    		
    				next.map[cur.pos[num].x][cur.pos[num].y] = 0;
    				next.map[cur.blank[i].x][cur.blank[i].y] = num;
    
    				APhash(next);
    				next.step ++;
    				if(VIS[next.hash] == 1)
    					continue;
    				if(next.hash == GOAL_HASH)
    					return	next.step;
    	
    				next.pos[num] = cur.blank[i];
    				next.blank[i] = cur.pos[num];
    				VIS[next.hash] = 1;
    				que.push(next);
    			}
    	}
    
    	return	-1;
    }
    
    void	debug(const State & r)
    {
    	cout << endl;
    	printf("hash=%d
    ",r.hash);
    	for(int i = 1;i <= 4;i ++)
    	{
    		for(int j = 0;j < 8;j ++)
    			printf("%d ",r.map[i][j]);
    		cout << endl;
    	}
    	cout << endl;
    }
    
  • 相关阅读:
    最全面的iOS和Mac开源项目和第三方库汇总
    15 个 Android 通用流行框架大全
    Android中常用的优秀开源框架
    iOS中拉伸图片的几种方式
    iOS View自定义窍门——UIButton实现上显示图片,下显示文字
    Java Queue的使用
    java用volatile或AtomicBoolean实现高效并发处理 (只初始化一次的功能要求)
    android开发音乐播放器--Genres和Art album的获取
    一个神奇的控件——Android CoordinatorLayout与Behavior使用指南
    在CodeBlocks 开发环境中配置使用OpenCV (ubuntu系统)
  • 原文地址:https://www.cnblogs.com/xz816111/p/4378410.html
Copyright © 2020-2023  润新知